Triple

T13074008
Position Surface form Disambiguated ID Type / Status
Subject Jordi E329524 entity
Predicate producer P490 FINISHED
Object Ryan Ogren E931597 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ryan Ogren | Statement: [Jordi, producer, Ryan Ogren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Ogren
Context triple: [Jordi, producer, Ryan Ogren]
  • A. Ryan Ogren chosen
    Ryan Ogren is an American songwriter and record producer known for working with various pop and rock artists.
  • B. Kyle Vogt
    Kyle Vogt is an American entrepreneur and engineer best known as the co-founder and former CEO of the self-driving car company Cruise and earlier as a co-founder of the live-streaming platform Twitch.
  • C. Justin O’Brien
    Justin O’Brien was an American scholar and translator best known for his influential English translations of Albert Camus’s works, which helped introduce the French existentialist writer to a broad Anglophone audience.
  • D. Kyle Rote
    Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
  • E. Dustin O’Halloran
    Dustin O’Halloran is an American pianist and composer known for his emotive solo piano works and acclaimed film and television scores.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d981160e388190bab942a2ded2903e completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9 p.m.